Clean up repo analysis, refactor, and add more tools (#6963)

Updating script to include more repo analysis scripts and organize them
under a subdir since there will be even more scripts coming over time

These are tools used to do a one-off investigation on org repos, but
checking them in in case they turn out to be more widely useful

Author: ZainRizvi

tools/analytics/org/.gitignore

@@ -0,0 +1,8 @@
+# Stores cached data for GitHub API responses
+cache/
+
+# Gets temporarily created by the script
+scale-config.yml
+
+# Stores the output of the analysis
+reports/

tools/analytics/org/README.md

@@ -0,0 +1,38 @@
+# Organization Analytics Tools
+
+This directory contains a collection of scripts designed to analyze GitHub Actions runner usage and other organizational metrics across a GitHub organization's repositories.
+
+## Overview
+
+The tools in this directory help us understand how GitHub Actions runners are being utilized across our repositories.
+
+## Scripts
+
+### `analyze_runner_usage.py`
+
+**Purpose**: Analyzes GitHub Actions runner label usage across all repositories in a specified GitHub organization.
+
+**Key Features**:
+- Fetches all non-archived repositories in a GitHub organization
+- Extracts runner labels used in workflow jobs from recent workflow runs
+- Aggregates runner usage statistics across repositories
+- Compares runner labels against those defined in `scale-config.yml` and standard GitHub-hosted runners
+- Identifies unused or undefined runners
+- Generates comprehensive usage reports
+
+**Output**: Creates `runner_labels_summary.yml` with detailed analytics including:
+- Runner usage by repository
+- Repository usage by runner type
+- Repositories with zero workflow runs
+- Runners not defined in scale-config or standard GitHub runners
+- Usage patterns and trends
+
+### `cache_manager.py`
+
+**Purpose**: Helper script. Provides efficient caching functionality for GitHub API responses to optimize performance and avoid rate limiting.
+
+**Features**:
+- URL-based cache key generation
+- Intelligent cache invalidation
+- Rate limit optimization
+- Reduces redundant API calls during analysis